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Connexion

Senators
GP: 86 | W: 36 | L: 35 | OTL: 15 | P: 87
GF: 231 | GA: 261 | PP%: 25.62% | PK%: 70.65%
DG: Brendan Cwik | Morale : 35 | Moyenne d’équipe : 57

Centre de jeu
Roadrunners
45-31-10, 100pts
3
5 Senators
36-35-15, 87pts
Team Stats
W1SéquenceW2
24-14-5Fiche domicile20-14-9
21-17-5Fiche domicile16-21-6
9-1-0Derniers 10 matchs4-5-1
3.99Buts par match 2.69
3.72Buts contre par match 3.03
25.00%Pourcentage en avantage numérique25.62%
71.38%Pourcentage en désavantage numérique70.65%
Senators
36-35-15, 87pts
4
3 Reign
45-34-7, 97pts
Team Stats
W2SéquenceL1
20-14-9Fiche domicile23-19-1
16-21-6Fiche domicile22-15-6
4-5-1Derniers 10 matchs4-4-2
2.69Buts par match 3.56
3.03Buts contre par match 3.37
25.62%Pourcentage en avantage numérique28.63%
70.65%Pourcentage en désavantage numérique73.74%
Meneurs d'équipe
Buts
Brad Lambert
34
Passes
Brad Lambert
48
Points
Brad Lambert
82
Plus/Moins
Luke Reid
8
Victoires
Ales Stezka
23
Pourcentage d’arrêts
Ales Stezka
0.846

Statistiques d’équipe
Buts pour
231
2.69 GFG
Tirs pour
1872
21.77 Avg
Pourcentage en avantage numérique
25.6%
52 GF
Début de zone offensive
38.6%
Buts contre
261
3.03 GAA
Tirs contre
1649
19.17 Avg
Pourcentage en désavantage numérique
70.6%%
59 GA
Début de la zone défensive
32.8%
Informations de l'équipe

Directeur généralBrendan Cwik
EntraîneurBob Woods
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,163
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 100
Espoirs117


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Alexandre TexierXX100.0067429076746254662465726180666765216402611,000,000$
2Logan Brown (R)X100.0086868666865654668064656861464664356302831,530,000$
3Tyson Kozak (R)X100.007743978169566963706367692548476543630231850,000$
4Hunter Haight (R)X100.0073668868687883597352626058474659756102231,314,000$
5Brad Lambert (R)X100.0072658775677783607165525946474657746102211,200,000$
6Nate SmithX100.0071658365657377587156555851474657585902731,409,000$
7Brendan Brisson (R)XXX100.007371787373677156695751604649485457590241925,000$
8Jakub BrabenecX100.0076699467717277516548516048464655465702231,107,000$
9Massimo Rizzo (R)X100.0075679366696163526851505948474655595602431,341,000$
10Cross HanasX100.007671876673525253504655615347465549550241925,000$
11Henri NikkanenX100.008277996278383550645045634446465332530251925,000$
12Lukas SvejkovskyX100.006860868262363251503760555847465464530241925,000$
13Daemon Hunt (R)X100.007874887077707553254845613848485265610241902,500$
14Hunter McDonald (R)X100.0074786066807886502541445939474650616002431,192,000$
15Simon LundmarkX100.0076728564727481472537415939474651585802531,161,000$
16Mac HollowellX100.006561756661697354255441553747465165570271971,000$
17Aleksi Heimosalmi (R)X100.0069638766656773462535425640474650555602331,277,000$
18Luke Reid (R)X100.0077709982724547402526385837474647585502431,338,000$
19Hardy Haman AktellX100.0075748263744241492545385937474648585402731,154,000$
Rayé
1Gavin HainX100.0073698262694140506344506048444454205102631,096,000$
2Adam MechuraXXX100.0080739981743230435538436242454551205102311,000,000$
MOYENNE D’ÉQUIPE100.00746787707159625350495160464847555157
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Akira Schmid100.004852658346475054474895484950585302631,272,000$
2Ales Stezka100.005148608052484853515130464649535302911,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0050506382494849544950634748505653
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods40404040404040CAN5211,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Brad LambertSenators (OTT)C86344882-234201261752456712713.88%25175120.37611172313411231093255.72%8836925100.9414121487
2Tyson KozakSenators (OTT)C71224567-271210801112088012810.58%25139919.7231821291400001382158.98%3346123100.9604110363
3Alexandre TexierSenators (OTT)LW/RW78243458-13951021121847610713.04%32143518.41461016931127883134.98%9495520000.8146010523
4Brendan BrissonSenators (OTT)C/LW/RW802822502612511586167459616.77%18124915.6263918770116525152.86%2105123000.8005104249
5Hunter HaightSenators (OTT)C8620294912420127120139589714.39%27169519.724812211360005834156.84%955119000.5814211222
6Nate SmithSenators (OTT)C8621274815115135113134449815.67%22166619.385813121361017423045.45%1323223010.5836012822
7Logan BrownSenators (OTT)C64162844-4463088101129559012.40%19116918.28851319700003215160.75%5633014000.7513213505
8Daemon HuntSenators (OTT)D8692433-5774511113710950478.26%83211824.6320261230112103110%03547000.3100036001
9Hunter McDonaldSenators (OTT)D8672229-162097514711611241356.25%89213124.786612171900004112000%02852000.2700258122
10Mac HollowellSenators (OTT)D8652126-8802077855735278.77%45162418.893101314189011189000%01129100.3200112111
11Jakub BrabenecSenators (OTT)C791091921515755759182616.95%1091811.631237421014353056.25%801410010.4112021100
12Cross HanasSenators (OTT)LW861091901951017352134519.23%997011.280333340111112044.70%2171117000.3901010121
13Massimo RizzoSenators (OTT)C868917-1919151009969215111.59%19138516.112358730001200255.17%582119000.2513003010
14Lukas SvejkovskySenators (OTT)RW8610616-71610787493265810.75%8122114.21000080002621136.11%363513000.2600101010
15Simon LundmarkSenators (OTT)D8621113-1911260961245923223.39%71196022.792025116000474000%01834000.1301138010
16Hardy Haman AktellSenators (OTT)D86055-237153844171190%1899311.55000110000028000%0212000.1000111000
17Aleksi HeimosalmiSenators (OTT)D861341355346119955.26%37108912.67000010001161000%0221000.0700001000
18Adam MechuraSenators (OTT)C/LW/RW28033-300101514770%22167.7200000000000050.00%1265000.2801000000
19Henri NikkanenSenators (OTT)C65011000482210%01161.7900002000000050.00%2400000.1700000000
20Luke ReidSenators (OTT)D8601180016114320%45616.530000000003000%017000.0400000000
21Gavin HainSenators (OTT)C27000000000000%0100.410000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne1610227357584-110856390166017221872684107812.13%5632568715.95528313519915814610521141321149.89%3594533413320.451240132342333236
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Ales StezkaSenators (OTT)622325100.8462.673551261581025626730.565236116312
2Domenic DiVincentiisSenators2512850.8513.2614010176509287300.61513250010
3Akira SchmidSenators (OTT)111200.8394.06266001811268201.0002070000
Statistiques d’équipe totales ou en moyenne983635150.8472.905219272521646981123388686322


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam MechuraSenators (OTT)C/LW/RW232003-01-31CZENo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Akira SchmidSenators (OTT)G262000-05-12SUINo190 Lbs6 ft5NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,272,000$0$0$No1,272,000$1,272,000$-------1,272,000$1,272,000$-------NoNo-------Lien
Aleksi HeimosalmiSenators (OTT)D232003-05-08FINYes170 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Ales StezkaSenators (OTT)G291997-01-06CZENo190 Lbs6 ft4NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Alexandre TexierSenators (OTT)LW/RW261999-09-13FRANo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Brad LambertSenators (OTT)C222003-12-19FINYes173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Brendan BrissonSenators (OTT)C/LW/RW242001-10-22USAYes198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Cross HanasSenators (OTT)LW242002-01-05USANo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Daemon HuntSenators (OTT)D242002-05-15CANYes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Lien
Gavin HainSenators (OTT)C262000-04-03USANo194 Lbs5 ft11NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,096,000$0$0$No1,096,000$1,096,000$-------1,096,000$1,096,000$-------NoNo-------Lien
Hardy Haman AktellSenators (OTT)D271998-07-04SWENo198 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,154,000$0$0$No1,154,000$1,154,000$-------1,154,000$1,154,000$-------NoNo-------Lien
Henri NikkanenSenators (OTT)C252001-04-28FINNo200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Hunter HaightSenators (OTT)C222004-04-04CANYes181 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,314,000$0$0$No1,314,000$1,314,000$-------1,314,000$1,314,000$-------NoNo-------Lien
Hunter McDonaldSenators (OTT)D242002-05-11USAYes205 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,192,000$0$0$No1,192,000$1,192,000$-------1,192,000$1,192,000$-------NoNo-------Lien
Jakub BrabenecSenators (OTT)C222003-09-11CZENo185 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,107,000$0$0$No1,107,000$1,107,000$-------1,107,000$1,107,000$-------NoNo-------Lien
Logan BrownSenators (OTT)C281998-03-05USAYes222 Lbs6 ft7NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,530,000$0$0$No1,530,000$1,530,000$-------1,530,000$1,530,000$-------NoNo-------Lien
Lukas SvejkovskySenators (OTT)RW242001-11-28USANo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Luke ReidSenators (OTT)D242001-09-26CANYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,338,000$0$0$No1,338,000$1,338,000$-------1,338,000$1,338,000$-------NoNo-------Lien
Mac HollowellSenators (OTT)D271998-09-26CANNo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm971,000$0$0$No---------------------------Lien
Massimo RizzoSenators (OTT)C242001-06-13CANYes185 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Lien
Nate SmithSenators (OTT)C271998-10-19USANo177 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,409,000$0$0$No1,409,000$1,409,000$-------1,409,000$1,409,000$-------NoNo-------Lien
Simon LundmarkSenators (OTT)D252000-10-08SWENo193 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,161,000$0$0$No1,161,000$1,161,000$-------1,161,000$1,161,000$-------NoNo-------Lien
Tyson KozakSenators (OTT)C232002-12-29CANYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.74190 Lbs6 ft12.041,122,370$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson KozakLogan BrownMassimo Rizzo40122
2Hunter HaightBrad LambertNate Smith30122
3Tyson KozakLogan BrownMassimo Rizzo20122
4Lukas SvejkovskyAlexandre TexierBrad Lambert10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldSimon Lundmark40122
2Daemon HuntMac Hollowell30122
3Daemon HuntAleksi Heimosalmi20122
4Luke ReidDaemon Hunt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan BrownTyson KozakMassimo Rizzo60122
2Hunter HaightBrad LambertNate Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldMac Hollowell60122
2Daemon HuntSimon Lundmark40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad LambertHunter Haight60122
2Massimo RizzoNate Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldAleksi Heimosalmi60122
2Daemon HuntMac Hollowell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Lambert60122Simon LundmarkDaemon Hunt60122
2Hunter Haight40122Hunter McDonaldLuke Reid40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hunter HaightTyson Kozak60122
2Brad LambertMassimo Rizzo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldDaemon Hunt60122
2Luke ReidAleksi Heimosalmi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brad Lambert, Hunter Haight, Massimo RizzoBrad Lambert, Hunter HaightLukas Svejkovsky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hardy Haman Aktell, Hunter McDonald, Daemon HuntDaemon HuntSimon Lundmark, Daemon Hunt
Tirs de pénalité
Massimo Rizzo, Tyson Kozak, Nate Smith, Brad Lambert, Hunter Haight
Gardien
#1 : Ales Stezka, #2 : Akira Schmid


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals310010101284210010008531000001043161.000121628013780102206843364976266461821503133.33%8450.00%2686136750.18%599116051.64%508101250.20%1552631155795621131020
2Americans2110000068-2110000005411010000014-320.5006915003780102205543364976266361626466350.00%8275.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
3Barracuda613001011522-72010010047-3412000011115-440.3331524391037801022016043364976266134496711719526.32%21671.43%0686136750.18%599116051.64%508101250.20%1552631155795621131020
4Bears2110000023-11010000002-21100000021120.5002460037801022025433649762665217929100.00%20100.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
5Bruins310001015501000000112-12100010043140.66756110137801022062433649762664416851000%4175.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
6Canucks2010100045-11010000013-21000100032120.500471100378010220344336497626642923297228.57%4175.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
7Checkers21000001541110000003121000000123-130.7505712003780102202143364976266261214364250.00%20100.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
8Comets5130100015141312000009812010100066040.400152338003780102201404336497626676386110715533.33%13376.92%0686136750.18%599116051.64%508101250.20%1552631155795621131020
9Condors42200000914-52200000072520200000212-1040.500914230137801022078433649762668333516512325.00%9277.78%0686136750.18%599116051.64%508101250.20%1552631155795621131020
10Crunch21000100431110000004221000010001-130.750461000378010220344336497626622528353266.67%4175.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
11Eagles3110001013762100001013581010000002-240.667131831003780102206043364976266601231635120.00%8187.50%0686136750.18%599116051.64%508101250.20%1552631155795621131020
12Griffins2010000169-31000000156-11010000013-210.250610160037801022046433649762664717444912216.67%7357.14%0686136750.18%599116051.64%508101250.20%1552631155795621131020
13Gulls2010000125-31000000123-11010000002-210.250235003780102201943364976266301526355120.00%30100.00%1686136750.18%599116051.64%508101250.20%1552631155795621131020
14Heat20200000610-41010000035-21010000035-200.00067130037801022041433649762664182538300.00%5260.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
15IceHogs613002001119-82010010025-341200100914-540.3331117281037801022015143364976266108355312020630.00%14750.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
16Islanders21100000810-2110000005321010000037-420.50081523003780102204443364976266641812337228.57%6266.67%0686136750.18%599116051.64%508101250.20%1552631155795621131020
17Marlies21100000211110000002021010000001-120.500246013780102202343364976266205933300.00%20100.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
18Monsters5220010013130311001008802110000055050.50013193200378010220924336497626668275112210440.00%9277.78%0686136750.18%599116051.64%508101250.20%1552631155795621131020
19Moose22000000514110000002021100000031241.0005712013780102203543364976266117113311100.00%30100.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
20Penguins22000000716110000003031100000041341.000711180137801022056433649762661122644200.00%3166.67%0686136750.18%599116051.64%508101250.20%1552631155795621131020
21Phantoms30100101914-520100100711-41000000123-120.333915240037801022077433649762666320316210220.00%8275.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
22Reign2010001079-21010000036-31000001043120.50071118003780102204143364976266732015457114.29%5340.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
23Roadrunners210010001183110000005321000100065141.000112031003780102207043364976266702031298225.00%8275.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
24Rocket503010101723-62000101097230300000816-840.40017264300378010220138433649762661083238927228.57%14564.29%1686136750.18%599116051.64%508101250.20%1552631155795621131020
25Silver Knights200011007701000010023-11000100054130.75071017003780102204543364976266331215454250.00%5340.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
26Stars2010100046-21010000025-31000100021120.500461000378010220324336497626633112294250.00%10100.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
27Thunderbirds2020000058-31010000012-11010000046-200.0005813003780102204043364976266882722426116.67%6183.33%0686136750.18%599116051.64%508101250.20%1552631155795621131020
28Wild2110000048-41010000006-61100000042220.500471100378010220304336497626665292325200.00%4175.00%0686136750.18%599116051.64%508101250.20%1552631155795621131020
29Wolf Pack210001009541000010023-11100000072530.7509152400378010220494336497626625144240700.00%6266.67%0686136750.18%599116051.64%508101250.20%1552631155795621131020
30Wolves51301000811-3311010007612020000015-440.4008122011378010220106433649762667019431161000.00%9277.78%0686136750.18%599116051.64%508101250.20%1552631155795621131020
Total86243508946231261-304315140362312512324392105323106138-32870.50623135758837378010220187243364976266164956385816602035225.62%2015970.65%4686136750.18%599116051.64%508101250.20%1552631155795621131020
_Since Last GM Reset86243508946231261-304315140362312512324392105323106138-32870.50623135758837378010220187243364976266164956385816602035225.62%2015970.65%4686136750.18%599116051.64%508101250.20%1552631155795621131020
_Vs Conference51122205813123154-312468025125865-727614033016589-24470.461123189312333780102201138433649762669083335299991213226.45%1193669.75%2686136750.18%599116051.64%508101250.20%1552631155795621131020
_Vs Division2261703411656501136023103331211311011013234-2250.56865991641237801022048643364976266481159194391491428.57%521669.23%2686136750.18%599116051.64%508101250.20%1552631155795621131020

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8687W223135758818721649563858166037
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8624358946231261
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4315143623125123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
439215323106138
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2035225.62%2015970.65%4
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
43364976266378010220
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
686136750.18%599116051.64%508101250.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1552631155795621131020


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
19Senators3IceHogs2WSommaire du match
216Senators2Barracuda3LXXSommaire du match
333Comets1Senators6WSommaire du match
551Monsters4Senators7WSommaire du match
771Wolves5Senators2LSommaire du match
989Senators3Barracuda6LSommaire du match
10104Phantoms7Senators4LSommaire du match
11121Senators3Rocket6LSommaire du match
12134Wolves1Senators4WSommaire du match
13151Senators2IceHogs5LSommaire du match
14161Senators3Rocket4LSommaire du match
15177Eagles3Senators10WSommaire du match
17197Monsters2Senators0LSommaire du match
18209Senators2Comets3LSommaire du match
19225Admirals5Senators6WXSommaire du match
20243Senators1Condors6LSommaire du match
22259Rocket4Senators5WXSommaire du match
24279Senators4Wild2WSommaire du match
25290Bruins2Senators1LXXSommaire du match
26307Senators3Heat5LSommaire du match
27321Senators3Moose1WSommaire du match
28334Moose0Senators2WSommaire du match
30356Checkers1Senators3WSommaire du match
31374Senators4Thunderbirds6LSommaire du match
32387Phantoms4Senators3LXSommaire du match
33400Senators6Roadrunners5WXSommaire du match
34415Islanders3Senators5WSommaire du match
35432Thunderbirds2Senators1LSommaire du match
37447Senators4Admirals3WXXSommaire du match
38468Silver Knights3Senators2LXSommaire du match
39475Senators4Monsters2WSommaire du match
40492Senators3Islanders7LSommaire du match
41510Reign6Senators3LSommaire du match
42526Monsters2Senators1LXSommaire du match
43536Senators4Penguins1WSommaire du match
45561Griffins6Senators5LXXSommaire du match
46575Senators3Canucks2WXSommaire du match
47592Americans4Senators5WSommaire du match
48612Senators1Condors6LSommaire du match
49625Senators2Phantoms3LXXSommaire du match
50633Marlies0Senators2WSommaire du match
51653Senators5Silver Knights4WXSommaire du match
52665Eagles2Senators3WXXSommaire du match
53683Admirals0Senators2WSommaire du match
54701Senators0Gulls2LSommaire du match
56716Gulls3Senators2LXXSommaire du match
57733Senators1Americans4LSommaire du match
58745Senators0Crunch1LXSommaire du match
59756Wild6Senators0LSommaire du match
60774Senators2Stars1WXSommaire du match
61784Senators2Bears1WSommaire du match
63797Bears2Senators0LSommaire du match
65819Penguins0Senators3WSommaire du match
66831Senators2Rocket6LSommaire du match
67849Canucks3Senators1LSommaire du match
68863Senators7Wolf Pack2WSommaire du match
70879Wolf Pack3Senators2LXSommaire du match
71897Senators1IceHogs3LSommaire du match
72910Heat5Senators3LSommaire du match
74925Senators4Comets3WXSommaire du match
75941Rocket3Senators4WXXSommaire du match
77961Senators2Bruins3LXSommaire du match
78967Senators1Wolves3LSommaire du match
79983Crunch2Senators4WSommaire du match
811002Senators3IceHogs4LXSommaire du match
821013Senators1Barracuda3LSommaire du match
831025Condors2Senators3WSommaire du match
841045Barracuda3Senators2LXSommaire du match
861064Barracuda4Senators2LSommaire du match
871077Senators5Barracuda3WSommaire du match
881087Senators2Checkers3LXXSommaire du match
901105Stars5Senators2LSommaire du match
911127Condors0Senators4WSommaire du match
921134Senators0Marlies1LSommaire du match
931150Senators1Griffins3LSommaire du match
951167IceHogs3Senators1LSommaire du match
961177Senators2Bruins0WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971196IceHogs2Senators1LXSommaire du match
981209Senators0Eagles2LSommaire du match
1001223Senators0Wolves2LSommaire du match
1011234Wolves0Senators1WXSommaire du match
1031258Comets3Senators1LSommaire du match
1051284Comets4Senators2LSommaire du match
1061290Senators1Monsters3LSommaire du match
1081308Roadrunners3Senators5WSommaire du match
1091315Senators4Reign3WXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance60,34332,665
Assistance PCT70.17%75.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2163 - 72.10% 90,162$3,876,950$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,609,107$ 2,581,450$ 2,581,450$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
23,049$ 2,609,171$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 31,977$ 0$




Senators Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Senators Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA